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Communication scheduling method of big data in Internet of Things based on decision feedback equalization and spread spectrum modulation technology

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Abstract

In order to improve the accuracy of communication transmission of big data in Internet of Things and reduce output bit error rate, a communication scheduling method of big data in Internet of things based on decision feedback equalization and spread spectrum modulation technology is proposed in this paper. In this method, a model of big data communication channel in Internet of Things is constructed, and the autocorrelation matched filtering method is used for multi-path interference suppression to communication of big data in Internet of Things; the decision feedback equalization method is used for channel equalization design of communication scheduling, and the adaptive filter is used to compensate distorted output samples; the spread spectrum modulation technology is used to improve the bandwidth of communication scheduling channel of big data and to correct frequency characteristics, so as to optimize the communication scheduling of big data in Internet of Things. The simulation results show that when the proposed method is used for communication scheduling of big data in Internet of Things, the amplitude-frequency response is improved by 300 m and the output bit error rate is reduced by 34%, which effectively improves the communication quality of big data.

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Acknowledgements

This work is supported by Advanced Rail Transit Major Project under the Major Research Schedule of the 13th Five-Year Plan (No. 2016YFB1200401-102B and 2016YFB1200506).

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Authors and Affiliations

  1. School of Civil Engineering & Mechanics, Huazhong University of Science and Technology, Wuhan, 430074, China

    Zhi-gang Mo

  2. College of Management, Hunan City University, Yiyang, 413000, Hunan, China

    Zheng Xie

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  1. Zhi-gang Mo
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Correspondence to Zheng Xie.

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Mo, Zg., Xie, Z. Communication scheduling method of big data in Internet of Things based on decision feedback equalization and spread spectrum modulation technology. Cluster Comput 22 (Suppl 3), 7649–7656 (2019). https://doi.org/10.1007/s10586-018-2343-4

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  • DOI: https://doi.org/10.1007/s10586-018-2343-4

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